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Supply and demand plans built in separate teams produce gaps that surface in stockouts or excess inventory. A Supply-Demand Gap Prediction Playbook reads forecasted demand against committed supply, capacity, and inbound shipments to surface gaps early and recommend the rebalance actions that close them.
The Challenge
Demand planning lives with sales and marketing. Supply planning lives with operations. The two plans get reconciled at S&OP cycles, leaving weeks or months where the gap between them produces stockouts or excess inventory before anyone formally surfaces it.
Production and supplier capacity get modeled as a static number for the planning cycle. When demand spikes or contracts, the capacity model lags, and the gap surfaces when actual production hits capacity ceilings or runs idle.
When the gap finally surfaces, options narrow: expedite supply at a premium, allocate scarce supply across customers, or accept excess. Each option costs more than the proactive rebalance would have cost weeks earlier.
How eyko Solves It
A Supply-Demand Gap Prediction Playbook reads the demand forecast against committed supply, production capacity, supplier capacity, inbound shipments in flight, and inventory positions to forecast supply-demand gaps per SKU and per period. It surfaces gaps by size and timing, identifies the dominant cause (demand-side spike, supply-side shortfall, capacity ceiling), and recommends the rebalance action most likely to close the gap.
The Playbook analyzed the next 90 days across 4,200 SKUs. 184 SKUs show forecasted supply-demand gaps materially outside acceptable buffer. 84 are supply-shortfall gaps representing $3.8M in revenue at risk; 64 are demand-shortfall gaps representing $2.4M in projected excess inventory. The remaining 36 are mixed-period gaps where the imbalance shifts within the window.
| Metric | Current | Benchmark | Status |
|---|---|---|---|
| Primary indicator | Flagged | Target | Action needed |
| Secondary indicator | Monitoring | Within range | On track |
| Trend direction | Declining | Stable | Review required |
Supply-Demand Gap Prediction forecasts supply-demand imbalances per SKU and per period using the demand forecast against committed supply, production and supplier capacity, inbound shipments, and inventory positions. The Playbook surfaces gaps by size and timing, identifies the dominant cause, and recommends rebalance actions so the S&OP team intervenes weeks before the gap produces stockouts or excess rather than reconciling after the cost is incurred.
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FAQ
Everything you need to know about Supply-Demand Gap Forecast.
Supply-Demand Gap Prediction is an AI-driven forecast of supply-demand imbalances per SKU and per period using the demand forecast against committed supply, production and supplier capacity, inbound shipments, and inventory positions. The Playbook surfaces gaps by size and timing, identifies the dominant cause, and recommends rebalance actions so the S&OP team intervenes weeks before the gap produces stockouts or excess.
The Playbook reads from your demand planning system (forecast by SKU and period), supply planning system (production and supplier capacity), ERP (inventory positions, open POs, MRP outputs), inbound shipment system (in-flight quantities and ETAs), and finance system (margin per SKU). At least 18 months of paired plan-and-outcome data anchors the gap prediction in real patterns.
S&OP reconciliation runs on a monthly or quarterly cycle and surfaces supply-demand gaps formally. Supply-Demand Gap Prediction is continuous: it forecasts gaps weeks before the next S&OP cycle would surface them, so the rebalance happens before the cost is incurred. The two are complementary, but the continuous prediction is what makes the reconciliation cycle more about validation than discovery.
Yes. For each gap the Playbook recommends a specific move: production allocation shifts on capacity-constrained components, expedited inbound on critical-path shipments, demand reallocation where margin justifies, and proactive customer communication where the gap cannot be closed in time. Each recommendation projects revenue impact and rebalance cost so leadership prioritizes the highest-yield moves.
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